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Record W2160415778 · doi:10.1177/000841740607300201

Reliability and Validity of the Safety Assessment Scale for People with Dementia Living at Home

2006· article· en· W2160415778 on OpenAlexafffundvenueabout
Isabelle Gélinas, Serge Gauthier, Lili Liu, Michel Rossignol, J. Sampalis, Dolly Dastoor

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2006
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsMcGill University
FundersHealth Canada
KeywordsDementiaScale (ratio)Reliability (semiconductor)PsychologyValidityActivities of daily livingGerontologyApplied psychologyPsychometricsMedicineClinical psychologyPsychiatryGeography

Abstract

fetched live from OpenAlex

BACKGROUND: With the recent funding changes in health care services, more seniors with dementia are cared for in their homes and the nature of their condition puts them at higher risk for accidents and injuries. PURPOSE: The Safety Assessment Scale (SAS) was developed for use by community healthcare providers to evaluate and lower the risk of accidents, provide recommendations to family caregivers and enhance case management. Method. The scale was assessed in terms of the reliability as well as content, criterion and construct validity with 176 community-residing people with dementia in Quebec, Alberta and British Columbia. The Safety Assessment Scale was validated in French and English. RESULTS: The SAS demonstrated an excellent test-retest (ICC=.91) and inter-rater (ICC=.88) reliability. Results for validity were also extremely good. PRACTICE IMPLICATIONS: The scale is available in French and English. The short version of the SAS is a screening tool and the longer version provides an in-depth evaluation of safety and intervention planning. The SAS can be used by a variety of health care professionals who work with individuals who have dementia.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.064
GPT teacher head0.386
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations28
Published2006
Admission routes4
Has abstractyes

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